Abstract
During the past decade, a new approach to providing air traffic services to airports from a remote location has been established, known as remote or digital tower. High quality video data is a core component in remote tower operations as it inherently contains a huge amount of information on which a controller can base decisions. The total resolution of a typical remote tower setup often exceeds 25 million RGB pixels and is captured at 30 frames per second or more. It is thus a challenge to efficiently process all the data in such a way as to provide relevant real-time enhancements to the controller. In this paper we describe the development of number of improvements and discuss how they can be implemented efficiently on a single workstation by decoupling processes, implementing attention mechanisms and utilizing hardware for parallel computing.
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Barrowclough, O. J. D., Briseid, S., Muntingh, G., & Viksand, T. (2020). Real-Time Processing of High-Resolution Video and 3D Model-Based Tracking for Remote Towers. SN Computer Science, 1(5). https://doi.org/10.1007/s42979-020-00304-x
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